Uniform Hospital Discharge Data
Author : Susan J. Williams
Publisher :
Page : 36 pages
File Size : 49,61 MB
Release : 1972
Category : Electronic data processing
ISBN :
Author : Susan J. Williams
Publisher :
Page : 36 pages
File Size : 49,61 MB
Release : 1972
Category : Electronic data processing
ISBN :
Author : United States. National Committee on Vital and Health Statistics
Publisher :
Page : 36 pages
File Size : 43,37 MB
Release : 1980
Category : Government publications
ISBN :
Author : Agency for Healthcare Research and Quality/AHRQ
Publisher : Government Printing Office
Page : 385 pages
File Size : 10,44 MB
Release : 2014-04-01
Category : Medical
ISBN : 1587634333
This User’s Guide is intended to support the design, implementation, analysis, interpretation, and quality evaluation of registries created to increase understanding of patient outcomes. For the purposes of this guide, a patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes. A registry database is a file (or files) derived from the registry. Although registries can serve many purposes, this guide focuses on registries created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or cost-effectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care. Registries are classified according to how their populations are defined. For example, product registries include patients who have been exposed to biopharmaceutical products or medical devices. Health services registries consist of patients who have had a common procedure, clinical encounter, or hospitalization. Disease or condition registries are defined by patients having the same diagnosis, such as cystic fibrosis or heart failure. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews.
Author : Kerm Henriksen
Publisher :
Page : 526 pages
File Size : 10,84 MB
Release : 2005
Category : Medical
ISBN :
v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.
Author :
Publisher :
Page : 76 pages
File Size : 47,87 MB
Release : 1991
Category : Classification
ISBN :
Author : American Medical Association
Publisher :
Page : 1250 pages
File Size : 48,67 MB
Release : 2021-09-20
Category :
ISBN : 9781640161559
ICD-10-CM 2022: The Complete Official Codebook provides the entire updated code set for diagnostic coding, organized to make the challenge of accurate coding easier. This codebook is the cornerstone for establishing medical necessity, correct documentation, determining coverage and ensuring appropriate reimbursement. Each of the 22 chapters in the Tabular List of Diseases and Injuries is organized to provide quick and simple navigation to facilitate accurate coding. The book also contains supplementary appendixes including a coding tutorial, pharmacology listings, a list of valid three-character codes and additional information on Z-codes for long-term drug use and Z-codes that can only be used as a principal diagnosis. Official 2022 coding guidelines are included in this codebook. FEATURES AND BENEFITS Full list of code changes. Quickly see the complete list of new, revised, and deleted codes affecting the CY2022 codes, including a conversion table and code changes by specialty. QPP symbol in the tabular section. The symbol identifies diagnosis codes associated with Quality Payment Program (QPP) measures under MACRA. New and updated coding tips. Obtain insight into coding for physician and outpatient settings. Chapter 22 features U-codes and coronavirus disease 2019 (COVID-19) codes Improved icon placement for ease of use New and updated definitions in the tabular listing. Assign codes with confidence based on illustrations and definitions designed to highlight key components of the disease process or injury and provide better understanding of complex diagnostic terms. Intuitive features and format. This edition includes color illustrations and visual alerts, including color-coding and symbols that identify coding notes and instructions, additional character requirements, codes associated with CMS hierarchical condition categories (HCC), Medicare Code Edits (MCEs), manifestation codes, other specified codes, and unspecified codes. Placeholder X. This icon alerts the coder to an important ICD-10-CM convention--the use of a "placeholder X" for three-, four- and five-character codes requiring a seventh character extension. Coding guideline explanations and examples. Detailed explanations and examples related to application of the ICD-10-CM chapter guidelines are provided at the beginning of each chapter in the tabular section. Muscle/tendon translation table. This table is used to determine muscle/tendon action (flexor, extensor, other), which is a component of codes for acquired conditions and injuries affecting the muscles and tendons Index to Diseases and Injuries. Shaded guides to show indent levels for subentries. Appendices. Supplement your coding knowledge with information on proper coding practices, risk-adjustment coding, pharmacology, and Z-codes.
Author :
Publisher :
Page : 38 pages
File Size : 27,65 MB
Release : 1980
Category :
ISBN :
Author : Caryn Bredenkamp
Publisher : World Bank Publications
Page : 69 pages
File Size : 31,18 MB
Release : 2019-12-19
Category : Medical
ISBN : 1464815216
This book examines how nine different health systems--U.S. Medicare, Australia, Thailand, Kyrgyz Republic, Germany, Estonia, Croatia, China (Beijing) and the Russian Federation--have transitioned to using case-based payments, and especially diagnosis-related groups (DRGs), as part of their provider payment mix for hospital care. It sheds light on why particular technical design choices were made, what enabling investments were pertinent, and what broader political and institutional issues needed to be considered. The strategies used to phase in DRG payment receive special attention. These nine systems have been selected because they represent a variety of different approaches and experiences in DRG transition. They include the innovators who pioneered DRG payment systems (namely the United States and Australia), mature systems (such as Thailand, Germany, and Estonia), and countries where DRG payments were only introduced within the past decade (such as the Russian Federation and China). Each system is examined in detail as a separate case study, with a synthesis distilling the cross-cutting lessons learned. This book should be helpful to those working on health systems that are considering introducing, or are in the early stages of introducing, DRG-based payments into their provider payment mix. It will enhance the reader's understanding of how other countries (or systems) have made that transition, give a sense of the decisions that lie ahead, and offer options that can be considered. It will also be useful to those working in health systems that already include DRG payments in the payment mix but have not yet achieved the anticipated results.
Author : Department Of Health And Human Services
Publisher : Lulu.com
Page : 128 pages
File Size : 26,15 MB
Release : 2020-09-06
Category : Medical
ISBN : 9781716599989
These guidelines have been approved by the four organizations that make up the Cooperating Parties for the ICD-10-CM: the American Hospital Association (AHA), the American Health Information Management Association (AHIMA), CMS, and NCHS. These guidelines are a set of rules that have been developed to accompany and complement the official conventions and instructions provided within the ICD-10-CM itself. The instructions and conventions of the classification take precedence over guidelines. These guidelines are based on the coding and sequencing instructions in the Tabular List and Alphabetic Index of ICD-10-CM, but provide additional instruction. Adherence to these guidelines when assigning ICD-10-CM diagnosis codes is required under the Health Insurance Portability and Accountability Act (HIPAA). The diagnosis codes (Tabular List and Alphabetic Index) have been adopted under HIPAA for all healthcare settings. A joint effort between the healthcare provider and the coder is essential to achieve complete and accurate documentation, code assignment, and reporting of diagnoses and procedures. These guidelines have been developed to assist both the healthcare provider and the coder in identifying those diagnoses that are to be reported. The importance of consistent, complete documentation in the medical record cannot be overemphasized. Without such documentation accurate coding cannot be achieved. The entire record should be reviewed to determine the specific reason for the encounter and the conditions treated.
Author : Institute of Medicine
Publisher : National Academies Press
Page : 286 pages
File Size : 33,56 MB
Release : 2009-12-30
Category : Medical
ISBN : 0309140129
The goal of eliminating disparities in health care in the United States remains elusive. Even as quality improves on specific measures, disparities often persist. Addressing these disparities must begin with the fundamental step of bringing the nature of the disparities and the groups at risk for those disparities to light by collecting health care quality information stratified by race, ethnicity and language data. Then attention can be focused on where interventions might be best applied, and on planning and evaluating those efforts to inform the development of policy and the application of resources. A lack of standardization of categories for race, ethnicity, and language data has been suggested as one obstacle to achieving more widespread collection and utilization of these data. Race, Ethnicity, and Language Data identifies current models for collecting and coding race, ethnicity, and language data; reviews challenges involved in obtaining these data, and makes recommendations for a nationally standardized approach for use in health care quality improvement.